Nobel Prize in Chemistry Honors 3 Scientists Who Used AI To Design Proteins

Three scientists who discovered powerful techniques to decode and even design novel proteins — the building blocks of life — were awarded the Nobel Prize in chemistry Wednesday. Their work used advanced technologies, including artificial intelligence, and holds the potential to transform how new drugs and other materials are made.
The prize was awarded to David Baker, a biochemist at the University of Washington in Seattle, and to Demis Hassabis and John Jumper, computer scientists at Google DeepMind, a British-American artificial intelligence research laboratory based in London.
Heiner Linke, chair of the Nobel Committee for Chemistry, said the award honored research that unraveled “a grand challenge in chemistry, and in particular in biochemistry, for decades.”
"It’s that breakthrough that gets awarded today,” he said.
What is the 2024 Nobel Prize in Chemistry for? Proteins are complex molecules with thousands of atoms that twist, turn, loop and spiral in a countless array of shapes that determine their biological function. For decades, scientists have dreamed of being able to efficiently design and build new proteins.
Baker, 62, whose work has received funding from the National Institutes of Health since the 1990s, created a computer program called Rosetta that helped analyze information about existing proteins in comprehensive databases to build new proteins that don't exist in nature.
"It seems that you can almost construct any type of protein now with this technology,” said Johan Åqvist of the Nobel committee.
Hassabis, 48, and Jumper, 39, created an artificial intelligence model that has predicted the structure of virtually all the 200 million proteins that researchers have ever identified.
The duo "managed to crack the code. With skillful use of artificial intelligence, they made it possible to predict the complex structure of essentially any known protein in nature,” Linke said.
Why does this work matter? The ability to custom design new proteins — and better understand existing proteins — could enable researchers to create new kinds of medicines and vaccines.
It could also allow scientists to design new enzymes to break down plastics or other waste materials that would neutralize pollution, Baker told a news conference, or even come up with entirely new material for semi conductors.
“I think there’s fantastic prospects for making better medicines — medicines that are smarter, that only work in the right time and place in the body,” Baker told The Associated Press.
One example is a potential nasal spray that could slow or stop the rapid spread of specific viruses, such as COVID-19, he said. Another is a medicine to disrupt the cascade of symptoms known as cytokine storm.
“That was always the holy grail. If you could figure out how protein sequences folded into their particular structures, then it might be possible to design protein sequences to fold into previously never seen structures that might be useful for us,” said Jon Lorsch, a director at the NIH.
How did the winners react? Baker told the AP he found out he won the Nobel during the early hours of the morning alongside his wife, who immediately started screaming.
“So it was a little deafening, too,” he said.
Hassabis said he was just having a “normal morning” at home when he eventually got the call.
The Nobel committee didn’t initially have his number and first managed to get hold of his wife, but she hung up on them a few times, he told an online news briefing.
“They kept persisting and then I think she realized it was a Swedish number and then they asked for my number,” he said.
“It’s so incredible. It’s so unreal at this moment," said Jumper, a researcher and director at Google DeepMind. "And it’s wonderful.”
What was the role of AI? One of Britain’s leading tech figures, Hassabis co-founded the AI research lab DeepMind in 2010, which was acquired by Google in 2014. Among its past breakthroughs was developing an AI system that mastered the Chinese game Go and defeated the game's human world champion.
In the past researchers labored for months or years to decode the structure of a single complex protein.
But the AI model created by the DeepMind researchers, called AlphaFold, “can determine the structure of a protein pretty accurately within a few seconds or minutes,” Hassabis told the AP in an interview, adding that this saves researchers “years of potentially painstaking experimental work.”
The two research groups learned from each other's work.
Baker said Hassabis and Jumper’s artificial intelligence work gave his team a huge boost.
“The breakthroughs made by Demis and John on protein structure prediction really highlighted to us the power that AI could have," said Baker. “And that led us to apply these AI methods to protein design.”
Science has sped up, said Jumper. “It is a key demonstration that AI will make science faster "
It’s the second Nobel prize this year awarded to someone with links to artificial intelligence research at Google.
Nobel physics prize winner Geoffrey Hinton, 76, often called the “godfather of AI,” also worked at the California-based tech company until quitting so he could speak more openly about the potential downsides of AI.
“I’m hoping AI will lead to tremendous benefits,” Hinton told a news conference Tuesday. “I’m convinced that it will do that in health care."
"My worry is that it may also lead to bad things. And in particular, when we get things more intelligent than ourselves, no one really knows whether we’re going to be able to control them.”
More about the Nobels Wednesday’s chemistry prize winners represent a younger generation taking forward the work of the AI pioneers honored for physics, said Michael Kearns, a computer scientist at the University of Pennsylvania.
They are making AI models "scalable and practical and applying it to very important scientific problems.”
Baker gets half of the 11 million Swedish Kronor ($1 million) prize money, while Hassabis and Jumper share the other half.
The Nobel announcements opened Monday with medical researchers Victor Ambros and Gary Ruvkun winning the medicine prize. Hinton and fellow AI pioneer John Hopfield, 91, won the physics prize.
The awards continue with the literature prize Thursday, the Nobel Peace Prize Friday and the economics award on Oct. 14.
The prize money comes from a bequest by the award’s creator, Swedish inventor Alfred Nobel. The laureates are invited to receive their awards at ceremonies on Dec. 10, the anniversary of Nobel’s death.

The Sculptor galaxy is similar in many respects to our Milky Way. It is about the same size and mass, with a similar spiral structure. But while it is impossible to get a full view of the Milky Way from the vantage point of Earth because we are inside the galaxy, Sculptor is perfectly positioned for a good look.

Astronomers have done just that, releasing an ultra-detailed image of the Sculptor galaxy on Wednesday obtained with 50 hours of observations using one of the world's biggest telescopes, the European Southern Observatory's Chile-based Very Large Telescope.

The image shows Sculptor, also called NGC 253, in around 4,000 different colors, each corresponding to a specific wavelength in the optical spectrum.

Because various galactic components emit light differently across the spectrum, the observations are providing information at unprecedented detail on the inner workings of an entire galaxy, from star formation to the motion of interstellar gas on large scales. Conventional images in astronomy offer only a handful of colors, providing less information.

The researchers used the telescope's Multi Unit Spectroscopic Explorer, or MUSE, instrument.

"NGC 253 is close enough that we can observe it in remarkable detail with MUSE, yet far enough that we can still see the entire galaxy in a single field of view," said astronomer Enrico Congiu, a fellow at the European Southern Observatory in Santiago, and lead author of research being published in the journal Astronomy & Astrophysics.

"In the Milky Way, we can achieve extremely high resolution, but we lack a global view since we're inside it. For more distant galaxies, we can get a global view, but not the fine detail. That's why NGC 253 is such a perfect target: it acts as a bridge between the ultra-detailed studies of the Milky Way and the large-scale studies of more distant galaxies. It gives us a rare opportunity to connect the small-scale physics with the big-picture view," Congiu said.

Sculptor is about 11 million light-years from Earth, making it one of the closest big galaxies to the Milky Way. A light-year is the distance light travels in a year, 5.9 trillion miles (9.5 trillion km).

Like the Milky Way, it is a barred spiral galaxy, meaning it has an elongated structure extending from its nucleus, with spiral arms extending from the ends of the bar. Its diameter of about 88,000 light-years is similar to the Milky Way's, as is its total mass. One major difference is Sculptor's rate of new star formation, estimated to be two to three times greater than that of the Milky Way.

Nearly 30% of this star formation is happening near the galaxy's nucleus in what is called a starburst region, as revealed in colorful emissions shown in the new image.

The observations have given information on a wide range of properties such as the motion, age and chemical composition of stars and the movement of interstellar gas, an important component of any galaxy.

"Since the light from stars is typically bluer if the stars are young or redder if the stars are old, having thousands of colors lets us learn a lot about what stars and populations of stars exist in the galaxy," said astronomer Kathryn Kreckel of Heidelberg University in Germany, a study co-author.

"Similarly for the gas, it glows in specific bright emission lines at very specific colors, and tells us about the different elements that exist in the gas, and what is causing it to glow," Kreckel said.

The initial research being published from the observations involves planetary nebulae, which are luminous clouds of gas and dust expelled by certain dying stars. Despite their name, they have nothing to do with planets. These nebulae can help astronomers measure the precise distances of faraway galaxies.

The researchers marveled at the scientific and aesthetic value of the new view of Sculptor.

"I personally find these images amazing," Congiu said. "What amazes me the most is that every time I look at them, I notice something new - another nebula, a splash of unexpected color or some subtle structure that hints at the incredible physics behind it all."

Nobel Prize in Chemistry Honors 3 Scientists Who Used AI To Design Proteins - Life's Building Blocks